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# Principal Software Engineer

- **Company:** Kastle Systems
- **Location:** Falls Church, VA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Amazon Web Services, Computer Vision, Microsoft Azure, C++ (Programming Language), Cloud Computing, Databases, Linux, DevOps, Distributed Systems, H.264/MPEG-4 AVC, Python (Programming Language), NoSQL, Systems Development Life Cycle, Ansible, Tensorflow, Google Cloud, Pytorch, High Efficiency Video Coding (HEVC), Delivery Pipeline, Large Language Models, Deep Learning, Gitlab, Git, RTSP, Git Flow, Kubernetes, Live Streaming, Bitbucket, Puppet, Terraform, Software Version Control, Docker, Jenkins, Golang
- **Published:** August 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6e05eefede5dbd7c

## About the Role

* Bachelors degree required; Advanced degree preferred
 * At least 7 years of experience developing and shipping software for mass market products
 * Knowledge & experience with the SDLC and programming languages: Python, C, C++ and Go
 * Experience with the following:
 + AI Training & Inference: LLM (Large Language Models), Deep Learning, Computer Vision, PyTorch, TensorFlow
 + Cloud computing: AWS, GCP, Azure, Docker, Kubernetes
 + Source code management systems such as Git and Bitbucket
 + DevOps tools: Jenkins, Gitlab, GitOps
 + Databases and NoSQL experience
 * Strong skills in troubleshooting production issues

Preferred, but not required:

 * Experience with:
 + Infrastructure management tools such as Ansible, Chef, Puppet, or Terraform
 + Designing and developing services using distributed systems principles
 + Media codecs and streaming protocols. Examples include: H.264 (AVC), RTSP (Real Time Streaming Protocol), H.265 (HEVC), ONVIF, or others

## Description

* Develop, test & deploy CheckVideo applications in a secure manner
 * Develop in a Linux environment using source code control system and deployment pipelines
 * Maintain and update production software as necessary
 * Scale and tune for performance to meet production demand
 * Secure our software by addressing any vulnerabilities and by writing high-performing, scalable, and secure software to meet customer demands.
 * Follow SDLC best practices for scalability, reliability & observability


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